4 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.LG2021★ 2 cited
AdaGNN: A multi-modal latent representation meta-learner for GNNs based on AdaBoosting
Qinyi Zhu, Yiou Xiao
As a special field in deep learning, Graph Neural Networks (GNNs) focus on extracting intrinsic network features and have drawn unprecedented popularity in both academia and indust…
cs.LG2020
Isometric Graph Neural Networks
Matthew Walker, Bo Yan, Yiou Xiao +2
Many tasks that rely on representations of nodes in graphs would benefit if those representations were faithful to distances between nodes in the graph. Geometric techniques to ext…
cs.SI2019★ 4 cited
Relation Learning on Social Networks with Multi-Modal Graph Edge Variational Autoencoders
Carl Yang, Jieyu Zhang, Haonan Wang +5
While node semantics have been extensively explored in social networks, little research attention has been paid to profile edge semantics, i.e., social relations. Ideal edge semant…